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Software Engineer, ML Inference Optimization

Zoox· Software – Software Systems
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Foster City, CA$177k - $270kFull-timePosted 4mo ago

About the role

Role focused on ML Inference Optimization to accelerate VLMs, VLAs, and Foundational models for autonomous driving; involves design, implementation, and operation of cutting-edge ML training or inference performance optimization techniques and collaboration with cross-functional teams.

Responsibilities

  • Design, implement, and operate cutting-edge ML Training OR Inference performance optimization techniques to scale our VLM, VLA, and Foundational models and deploy them efficiently in our robotaxi.
  • Collaborate closely with cross-functional teams, including ML researchers, software engineers, data engineers, and hardware engineers, to define requirements and align on architectural decisions.

Qualifications

  • 4+ years of total experience, including 2+ years of working on large-scale model training or inference platforms.
  • Experience with training frameworks like PyTorch, leveraging GPUs efficiently for distributed model training.
  • Experience with GPU-accelerated inference using TensorRT or similar frameworks.
  • Experience using profiling tools like NVIDIA's Nsight or PyTorch's Profiler for identifying model training and serving bottlenecks.
  • Proficient in Python or C++.

Skills

Required:Large-scale model training or inference platformsPyTorchGPU-accelerated inferenceProfiling toolsProgramming languages

Benefits

  • paid time off (e.g. sick leave, vacation, bereavement)
  • unpaid time off
  • Zoox Stock Appreciation Rights
  • Amazon RSUs
  • health insurance
  • long-term care insurance
  • long-term and short-term disability insurance
  • life insurance
Last updated Oct 21, 2026. Interested? Apply on the company site.
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It's Not a Car | Zoox

Zoox is a purpose-built autonomous vehicle designed for riders, not drivers. Learn more about the Zoox robotaxi and the future of ride-hailing.

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